FY24 CRS Congressionally Directed Spending-Track Intrusion System and Positive Train Control Project, CA
Sector: Government • Location: United States of America
Source: Grants.gov
The Project will demonstrate the efficacy deploying artificial intelligence for prototype track intrusion detection, integrated with PTC, on a 4.1 mile stretch of railroad on the Ventura Subdivision to detect potential trespassers on the rail right-of-way and prevent strikes by alerting the train automatically. The funding will support the purchase of track intrusion equipment, i.e. cameras, LiDAR
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Project will demonstrate the efficacy deploying artificial intelligence for prototype track intrusion detection, integrated with PTC, on a 4.1 mile stretch of railroad on the Ventura Subdivision to detect potential trespassers on the rail right-of-way and prevent strikes by alerting the train automatically. The funding will support the purchase of track intrusion equipment, i.e. cameras, LiDAR and/or radar to identify trespassers. Significant public benefits and preservation of life are anticipated by successful demonstration, upscaling, and transfer of this innovative approach to integrate technologies to prevent train strikes. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
